In recent years, healthcare systems have struggled wtih procuring medicines, rising costs, and medical waste disposal. Logistics concepts, involving the coordination of complex operations, are increasingly applied to optimize healthcare without compromising patient care. Supply chain and logistics have played a key role in improving system efficiency, enhancing patient care, and reducing costs. This paper aims to optimize healthcare logistics by addressing internal challenges such as reducing wasted time and protecting both patients and staff. The digital transformation of hospital logistics requires big data, algorithms, performance measurement tools, and a general approach to optimizing hospital flows.

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Logistics Models for Patient Scheduling Improvement and Waiting Time Reduction

  • Marina De Lucia,
  • O. V. Ayokunle,
  • Raffaele Verde

摘要

In recent years, healthcare systems have struggled wtih procuring medicines, rising costs, and medical waste disposal. Logistics concepts, involving the coordination of complex operations, are increasingly applied to optimize healthcare without compromising patient care. Supply chain and logistics have played a key role in improving system efficiency, enhancing patient care, and reducing costs. This paper aims to optimize healthcare logistics by addressing internal challenges such as reducing wasted time and protecting both patients and staff. The digital transformation of hospital logistics requires big data, algorithms, performance measurement tools, and a general approach to optimizing hospital flows.